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PMID: 15807518 Published · ppublish English Journal Article

Molecular Property eXplorer: a novel approach to visualizing SAR using tree-maps and heatmaps.

Journal of chemical information and modeling ·Vol. 45 ·No. 2 ·2005-00-00 ·Pages 523-32

Kibbey C, Calvet A

Abstract

The tremendous increase in chemical structure and biological activity data brought about through combinatorial chemistry and high-throughput screening technologies has created the need for sophisticated graphical tools for visualizing and exploring structure-activity data. Visualization plays an important role in exploring and understanding relationships within such multidimensional data sets. Many chemoinformatics software applications apply standard clustering techniques to organize structure-activity data, but they differ significantly in their approaches to visualizing clustered data. Molecular Property eXplorer (MPX) is unique in its presentation of clustered data in the form of heatmaps and tree-maps. MPX employs agglomerative hierarchical clustering to organize data on the basis of the similarity between 2D chemical structures or similarity across a predefined profile of biological assay values. Visualization of hierarchical clusters as tree-maps and heatmaps provides simultaneous representation of cluster members along with their associated assay values. Tree-maps convey both the spatial relationship among cluster members and the value of a single property (activity) associated with each member. Heatmaps provide visualization of the cluster members across an activity profile. Unlike a tree-map, however, a heatmap does not convey the spatial relationship between cluster members. MPX seamlessly integrates tree-maps and heatmaps to represent multidimensional structure-activity data in a visually intuitive manner. In addition, MPX provides tools for clustering data on the basis of chemical structure or activity profile, displaying 2D chemical structures, and querying the data based over a specified activity range, or set of chemical structure criteria (e.g., Tanimoto similarity, substructure match, and "R-group" analysis).

MeSH Terms
Cluster Analysis Computer Simulation Flavones/chemistry Hot Temperature Models, Chemical Molecular Structure Phytoestrogens/chemistry Receptors, Estrogen/chemistry,metabolism Software Structure-Activity Relationship
Chemicals
Flavones Phytoestrogens Receptors, Estrogen
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Kibbey Christopher
Pfizer Global Research and Development, Discovery Technologies, Michigan Laboratories, 2800 Plymouth Road, Ann Arbor, Michigan 48105, USA. christopher.kibbey@pfizer.com
Calvet Alain
Article Info
Journal
Journal of chemical information and modeling
Abbr.
J Chem Inf Model
ISSN
1549-9596
Published
2005-00-00
Pages
523-32
Language
English
Region
United States
NLM ID
101230060
Subset
IM
Analysis Services
Analysis Services

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